A deep convolutional neural network for the early detection of heart disease
Heart disease is one of the key contributors to human death. Each year, several people die
due to this disease. According to the WHO, 17.9 million people die each year due to heart …
due to this disease. According to the WHO, 17.9 million people die each year due to heart …
Investigating The Role of Machine Learning For Heart Disease Prediction
Prediction of heart disease in the human body is an essential task in the field of medicine, as
it prevents morbidity and mortality through early diagnosis and treatment. In this research …
it prevents morbidity and mortality through early diagnosis and treatment. In this research …
I: L1-norm matrix completion for recommender systems II: Conjecturing-based classification
F Valizadeh Gamchi - 2024 - scholarscompass.vcu.edu
Recommendation systems are essential for providing personalized user experiences, but
their performance can be affected by outliers especially in traditional collaborative filtering …
their performance can be affected by outliers especially in traditional collaborative filtering …
Hybrid FNN-DNN Approach for Early Detection of Cardiac Arrhythmia: A Novel Framework for Enhanced Diagnosis
This work introduces a relatively new hybrid approach to detect arrhythmias noninvasively at
the early stages by combining Feedforward Neural Networks (FNN) with Deep Neural …
the early stages by combining Feedforward Neural Networks (FNN) with Deep Neural …
Cardiovascular Disease Detection Using Intelligent Systems: A Cursory Survey
M Jayaraman, P Shanmugavadivu - International Conference on Data …, 2023 - Springer
Globally, cardiovascular diseases, comprising a range of ailments, continue to demonstrate
increasing mortality rates. Despite collaborative endeavors to predict and initiate timely …
increasing mortality rates. Despite collaborative endeavors to predict and initiate timely …